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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Benefits of physical and machine learning hybridization for photovoltaic power forecasting
Martin János Mayer
Renewable and Sustainable Energy Reviews (2022) Vol. 168, pp. 112772-112772
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Multi-timescale photovoltaic power forecasting using an improved Stacking ensemble algorithm based LSTM-Informer model
Yisheng Cao, Gang Liu, Dong–Hua Luo, et al.
Energy (2023) Vol. 283, pp. 128669-128669
Closed Access | Times Cited: 63
Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 62
Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting
Martin János Mayer, Dazhi Yang
Renewable and Sustainable Energy Reviews (2023) Vol. 175, pp. 113171-113171
Open Access | Times Cited: 50
Advances in solar forecasting: Computer vision with deep learning
Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100150-100150
Open Access | Times Cited: 41
Capacity optimization and economic analysis of PV–hydrogen hybrid systems with physical solar power curve modeling
Guoming Yang, Hao Zhang, Wenting Wang, et al.
Energy Conversion and Management (2023) Vol. 288, pp. 117128-117128
Closed Access | Times Cited: 39
Energy Forecasting: A Comprehensive Review of Techniques and Technologies
Aristeidis Mystakidis, Paraskevas Koukaras, Nikolaos Tsalikidis, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1662-1662
Open Access | Times Cited: 27
Probabilistic day-ahead prediction of PV generation. A comparative analysis of forecasting methodologies and of the factors influencing accuracy
Luca Massidda, Fabio Bettio, Marino Marrocu
Solar Energy (2024) Vol. 271, pp. 112422-112422
Closed Access | Times Cited: 23
A Tutorial Review of the Solar Power Curve: Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions
Dazhi Yang, Xiangao Xia, Martin János Mayer
Advances in Atmospheric Sciences (2024) Vol. 41, Iss. 6, pp. 1023-1067
Open Access | Times Cited: 14
A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
Ruoyang Zhang, Yu Wu, Lei Zhang, et al.
Energy (2025), pp. 134792-134792
Closed Access | Times Cited: 1
Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning
Martin János Mayer, Bence Biró, Botond Szücs, et al.
Applied Energy (2023) Vol. 336, pp. 120801-120801
Open Access | Times Cited: 33
On the value of expert knowledge in estimation and forecasting of solar photovoltaic power generation
Lennard Visser, Tarek AlSkaif, Jing Hu, et al.
Solar Energy (2023) Vol. 251, pp. 86-105
Open Access | Times Cited: 26
Agrivoltaic system for energy-food production: A symbiotic approach on strategy, modelling, and optimization
Nimay Chandra Giri, Ramesh Chandra Mohanty, Rama Chandra Pradhan, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 40, pp. 100915-100915
Closed Access | Times Cited: 23
Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME
Martin János Mayer, Dazhi Yang, Balázs Szintai
Applied Energy (2023) Vol. 352, pp. 121958-121958
Open Access | Times Cited: 23
Evaluating the most significant input parameters for forecasting global solar radiation of different sequences based on Informer
Chengcheng Jiang, Qunzhi Zhu
Applied Energy (2023) Vol. 348, pp. 121544-121544
Closed Access | Times Cited: 21
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 11
Revving up energy autonomy: A forecast-driven framework for reducing reverse power flow in microgrids
Elissaios Sarmas, Evangelos Spiliotis, Vangelis Marinakis, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101376-101376
Open Access | Times Cited: 7
An Incremental Learning Framework for Photovoltaic Production and Load Forecasting in Energy Microgrids
Elissaios Sarmas, Sofoklis Strompolas, Vangelis Marinakis, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 3962-3962
Open Access | Times Cited: 32
Probabilistic photovoltaic power forecasting using a calibrated ensemble of model chains
Martin János Mayer, Dazhi Yang
Renewable and Sustainable Energy Reviews (2022) Vol. 168, pp. 112821-112821
Open Access | Times Cited: 31
Deep learning performance prediction for solar-thermal-driven hydrogen production membrane reactor via bayesian optimized LSTM
Xin-Yuan Tang, Weiwei Yang, Zhao Liu, et al.
International Journal of Hydrogen Energy (2024) Vol. 82, pp. 1402-1412
Closed Access | Times Cited: 5
Design and Operation of Hybrid Ground Source Heat Pump Systems: A Review
J.L. Wang, Ting Yan, Xin Tang, et al.
Energy (2025), pp. 134537-134537
Closed Access
A review on full-, zero-, and partial-knowledge based predictive models for industrial applications
Stefano Zampini, Guido Parodi, Luca Oneto, et al.
Information Fusion (2025), pp. 102996-102996
Open Access
Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer
Xiang Liu, Qingyu Liu, Shuai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Assessing Solar-to-PV Power Conversion Models: Physical, ML, and Hybrid Approaches Across Diverse Scales
Caixia Li, Yuanyuan Xu, Matthew H. Y. Xie, et al.
Energy (2025), pp. 135744-135744
Closed Access
Deep Learning Models for Short-Term Forecasting of Photovoltaic Energy Production
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 87-127
Closed Access
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
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